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Jairus Hihn Jet Propulsion Laboratory, California Institute of Technology

Domain-Oriented Modeling, Estimation and Improvement for Aerospace. Jairus Hihn Jet Propulsion Laboratory, California Institute of Technology. November 2, 2011 26 th International Forum on COCOMO and Systems/Software Cost Modeling. Background. JPL is a FFRDC for NASA operated by Caltech

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Jairus Hihn Jet Propulsion Laboratory, California Institute of Technology

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  1. Domain-Oriented Modeling, Estimation and Improvement for Aerospace Jairus HihnJet Propulsion Laboratory, California Institute of Technology November 2, 2011 26th International Forum on COCOMO and Systems/Software Cost Modeling

  2. Background • JPL is a FFRDC for NASA operated by Caltech • JPL is a highly decentralized organization that allows great autonomy to its project managers at all levels • JPL’s Engineering and Science Directorate (3000 people) has twice been certified at CMMI ML 3 (2007, 2010) • Approximately 1000 people ($253M/year budget) in the software community • This raises the question • How do we do it • How do we measure it? • We turn process sins into virtues

  3. Data Sources • Data Sources • Metrics Collection at Key Milestones • Software Inventory (2006, 2007, 2009 and 2011) • Process performance measures (Tailoring Record, Work Product Checklist) • Defect tracking systems (PRS, ISA, AAMS, local databases) • SQI Surveys and Contact Log • Product and Process Quality Assurance Activities • Customer Feedback • Communicate results as widely as possible • State of Software Report • Noontime seminars • Section manager meetings 3

  4. Measuring Process Performance • Overall performance is used to establish baselines • Identifying the least performed activities provides a short list from which stakeholders can be engaged to discuss process improvement opportunities. • Metrics use is one of the least performed activities

  5. JPL Cost and Planning Models • Collect data at major milestones for mission critical and mission support software • Labor intensive requiring numerous interviews • MSL flight software required 30-35 interviews • Enables us to • Calibrate cost models • Develop effort by role • use to do schedule models but they no longer work • Effort growth from PDR • Cost to repair defects • Size growth • Enables cost research • Data mining models developed with Tim Menzies (WVU)

  6. Baselines and Trends Project Flight Software • How are we doing? • Trends Suggest Improvements in process discipline • Projects following a disciplined process exhibit below average budget growth and higher productivity rates 6

  7. NASA Software Cost improvement Task Year 1: Establish Process and Product Baseline • Product: Report that documents current state of practice at NASA with set of improvement recommendations and recommended metrics. Year 2: • Core team works to facilitate the implementation of high priority recommendations across the Agency through a tailorable Agency-wide process. Institute a cost metrics repository to gather information on cost estimate accuracy and cost estimation processes. Year 3: • Initiate a series of annual reports on NASA software cost estimation accuracy and cost estimation practices. • Continue to monitor and make recommendations

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